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Use case

Handwritten Documents

OCR and specialist agents turn handwritten forms into structured spreadsheets and filing documents.

  • Problem

    Handwritten R&D expense forms arrived as mixed scans, images and multipage PDFs, then had to become normalized schedules and filing documents.

  • My role

    I worked on an anonymized document-automation engagement, connecting OCR, segmentation, agent ordering, spreadsheet output and filing-support artifacts.

  • Implementation

    Use ML/OCR for text recognition and document/section separation, then use agents for contextual ordering, category mapping, normalization into the expected Excel table and generation of filing artifacts.

  • Engineering choices

    Separate visual extraction from business interpretation: OCR/segmentation for handwriting and pages; agents for ordering, category mapping and output formatting.

Stack and domains

  • OCR
  • ML segmentation
  • LLM agents
  • Excel/PDF artifacts